edit-training-arg

vuongnhathien/edit-training-arg

edit-training-arg is a image classification model from vuongnhathien. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

3% of all-time downloads

All-time downloads

Public

Parameters

27.6M

3.3 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors110 MB · 100%

At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: swinv2
Access: Public
Created: May 21, 2024
Updated: May 21, 2024
SHA: 3fd8a7c8

Base models

vuongnhathien/SwinV2-30VNFood

Model card

From the Hugging Face model README

edit-training-arg

This model is a fine-tuned version of vuongnhathien/SwinV2-30VNFood on the jbarat/plant_species dataset. It achieves the following results on the evaluation set:

Loss: 1.3643
Accuracy: 0.5875

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0005
train_batch_size: 64
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	10	0.7014	0.7375
No log	2.0	20	0.5727	0.75
No log	3.0	30	0.7431	0.7875
No log	4.0	40	0.7550	0.7875
No log	5.0	50	0.6643	0.7875
No log	6.0	60	0.6035	0.8625
No log	7.0	70	0.8655	0.8375
No log	8.0	80	0.7624	0.825
No log	9.0	90	0.6606	0.85
0.2933	10.0	100	0.6476	0.85

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2

Task: Image Classification
Library: transformers
Type: swinv2
License: apache-2.0
Created: May 21, 2024
Updated: May 21, 2024